COEADAPT INC.
Data Scientist
COEADAPT INC., Los Angeles, California, United States, 90079
Coeadapt is seeking a highly skilled and creative data scientist with a passion for optimizing data models and delivering impactful insights. The ideal candidate will be proficient in various statistical and machine learning techniques and have a proven track record of applying those methodologies to real-world business problems. The successful Data Scientist will play a pivotal role in our organization's growth and success by guiding our decisions and enriching our understanding of our customers and market.
Key Responsibilities:
• Collaborate with cross-functional teams to identify and execute data-driven solutions that drive business growth and optimize operations.
• Design and implement custom algorithms and models that integrate large sets of data using advanced techniques such as regression analysis, clustering, decision trees, etc.
• Develop data models and machine learning algorithms to support predictive and prescriptive analytics that can inform business decisions.
• Evaluate and refine existing models to improve accuracy, performance, and robustness.
• Continuously analyze data to identify trends, patterns, and insights that can serve as inputs for new models and decision-making processes.
• Build and maintain dashboards, reports, and visualizations that communicate insights in a clear and actionable manner.
• Work with the data engineering team to design and implement data pipelines that enable data-driven solutions to flow seamlessly.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• Minimum of 4 years of experience in a data scientist role or similar.
• Advanced knowledge of statistical and machine learning tools (e.g., Python, R, SQL).
• Experience with Big Data technologies (e.g., Hadoop, Spark, Cassandra).
• Strong problem-solving skills with an ability to work independently and in a team environment.
• Excellent analytical and quantitative skills, with an ability to extract actionable insights from large and complex datasets.
• Strong communication and presentation skills, with an ability to communicate complex results to technical and non-technical stakeholders.
If you are an experienced Data Scientist who is passionate about using data to drive success and growth, we encourage you to apply to this exciting opportunity.
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Key Responsibilities:
• Collaborate with cross-functional teams to identify and execute data-driven solutions that drive business growth and optimize operations.
• Design and implement custom algorithms and models that integrate large sets of data using advanced techniques such as regression analysis, clustering, decision trees, etc.
• Develop data models and machine learning algorithms to support predictive and prescriptive analytics that can inform business decisions.
• Evaluate and refine existing models to improve accuracy, performance, and robustness.
• Continuously analyze data to identify trends, patterns, and insights that can serve as inputs for new models and decision-making processes.
• Build and maintain dashboards, reports, and visualizations that communicate insights in a clear and actionable manner.
• Work with the data engineering team to design and implement data pipelines that enable data-driven solutions to flow seamlessly.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• Minimum of 4 years of experience in a data scientist role or similar.
• Advanced knowledge of statistical and machine learning tools (e.g., Python, R, SQL).
• Experience with Big Data technologies (e.g., Hadoop, Spark, Cassandra).
• Strong problem-solving skills with an ability to work independently and in a team environment.
• Excellent analytical and quantitative skills, with an ability to extract actionable insights from large and complex datasets.
• Strong communication and presentation skills, with an ability to communicate complex results to technical and non-technical stakeholders.
If you are an experienced Data Scientist who is passionate about using data to drive success and growth, we encourage you to apply to this exciting opportunity.
#J-18808-Ljbffr